T. Stuyver

MLIP-Enhanced Thermochemistry Predictions across Organic Chemical Space

This work presents thermoMLIP, a machine-learning-interatomic-potential-based workflow for efficient conformer optimization and thermochemistry prediction across the organic chemical space that achieves near-DFT accuracy at a fraction of the computational cost.